Ross Maciejewski
Impact in
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- Data Visualization and Analytics
- Transportation top 1%
- Human Mobility and Location-Based Analysis
Papers in
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- Data Visualization and Analytics 82
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- Data Analysis with R 12
- Co-authors
- Hanghang Tong (11 shared papers)Si Zhang (3 shared papers)Jiejun Xu (2 shared papers)David S. Ebert (53 shared papers)Jonas Lukasczyk (12 shared papers)Ariane Middel (4 shared papers)Yun Jang (11 shared papers)Yafeng Lu (13 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (36 papers)IEEE Computer Graphics and Applications (9 papers)Computer Graphics Forum (8 papers)Big Data (2 papers)Sustainability (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Ross Maciejewski
149 papers receiving 4.3k citations
Ross Maciejewski's Hit Papers
Peers
Comparison fields: 5 of 183
- Computer Vision and Pattern Recognition 1.6k
- Transportation 446
- Computer Graphics and Computer-Aided Design 202
- Geography, Planning and Development 231
- Signal Processing 437
Countries citing papers authored by Ross Maciejewski
This map shows the geographic impact of Ross Maciejewski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ross Maciejewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross Maciejewski more than expected).
Fields of papers citing papers by Ross Maciejewski
This network shows the impact of papers produced by Ross Maciejewski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ross Maciejewski. The network helps show where Ross Maciejewski may publish in the future.
Co-authors
The 25 scholars most cited alongside Ross Maciejewski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graph convolutional networks: a comprehensive review Hit paper breakdown → | 2019 | 1111 |
| 2 | 2012 | 191 | |
| 3 | 2018 | 165 | |
| 4 | 2018 | 146 | |
| 5 | 2009 | 111 | |
| 6 | 2017 | 102 | |
| 7 | 2017 | 86 | |
| 8 | 2017 | 80 | |
| 9 | 2017 | 77 | |
| 10 | 2019 | 72 | |
| 11 | 2014 | 68 | |
| 12 | 2017 | 66 | |
| 13 | 2009 | 66 | |
| 14 | 2015 | 63 | |
| 15 | 2011 | 63 | |
| 16 | 2019 | 60 | |
| 17 | 2020 | 59 | |
| 18 | 2010 | 58 | |
| 19 | 2020 | 58 | |
| 20 | 2011 | 56 |
About Ross Maciejewski
Ross Maciejewski is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Epidemiology, Signal Processing and Statistical and Nonlinear Physics, having authored 153 papers that have together received 4.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (82 papers), Data-Driven Disease Surveillance (20 papers), Complex Network Analysis Techniques (16 papers), Geographic Information Systems Studies (16 papers), Human Mobility and Location-Based Analysis (14 papers), Computer Graphics and Visualization Techniques (12 papers), Data Analysis with R (12 papers) and Data Management and Algorithms (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Transportation (446 citations), Computer Graphics and Computer-Aided Design (202 citations), Geography, Planning and Development (231 citations) and Signal Processing (437 citations). Ross Maciejewski has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hanghang Tong, Si Zhang, Jiejun Xu, David S. Ebert, Jonas Lukasczyk, Ariane Middel, Yun Jang, Yafeng Lu, Wei Chen and Yuxin Ma. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Computer Graphics Forum, Big Data and Sustainability.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.